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3.3.1. Dependent Variables

The BRFSS contains four HRQOL questions, including general health (GH), physical health (PH), mental health (MH), and activity limitations (AL). This study will analyze each indicator independently.

GH was measured by self-report general health status: “would you say that in general your health is?” PH was measured by “Now thinking about your physical health, which includes physical illness and injury, for how many days during the past 30 days was your physical health not good?” MH was measured by “Now thinking about your mental health, which includes stress, depression, and problems with emotions, for how many days during the past 30 days was your mental health not good?” AL was measured by “During the past 30 days, for about how many days did poor physical or mental health

keep you from doing your usual activities, such as self-care, work, or recreation?” The validity and reliability for public health surveillance for the four HRQOL questions in BRFSS were examined 61,64. Since a large proportion of AL responses were missing

(51.82%), this study did not examine AL. Thus, only the first three indicators, GH, PH and MH, were included.

According to previous research suggestions, GH was divided into two groups: excellent/very good/good and fair/poor. 50,53,65,85,88,115 Although previous research

suggested that PH and MH can be dichotomized into infrequent (0-14 days) and frequent (15-30 days) number of unhealthy days, 50,65,80,88,117 most BRFSS respondents included in

the sample reported no physically (61.42%) or mentally (78.37%) unhealthy days in the past 30 days, skewing the distributions. Thus, PH and MH were categorized into two groups: low unhealthy days (first to third quartiles, 0-4 days (0-74.3%) for PH and 0 days (0-79.4%) for MH) versus high unhealthy days (fourth quartile, 5-30 days (74.3-100%) for PH and 1-30 days (79.4-100%) for MH) (Table 3.4).

Then, HRQOL scores will be aggregated to county-level data based on individual FIPS codes and be used for multilevel modeling. This study applied MPS approach to generate county-level probabilities of having fair/poor GH and high physically/mentally unhealthy days.

Table 3.4: Older adults’ physical health, mental health, and activity limitation distributions before exclusions

Physically unhealthy

days Mentally unhealthy days Activity limitation days

Unweighted Weighted Unweighted Weighted Unweighted Weighted

0 59.87% 58.60% 77.37% 76.10% 1.21% 1.17%

1 2.49% 2.48% 1.95% 2.10% 1.86% 1.90%

2 4.26% 4.44% 3.28% 3.32% 1.28% 1.34%

3 2.73% 2.93% 1.84% 1.93% 0.80% 0.84%

Physically unhealthy days

Mentally unhealthy

days Activity limitation days

Unweighted Weighted Unweighted Weighted Unweighted Weighted

5 2.94% 3.16% 2.08% 2.22% 0.32% 0.31% 6 0.60% 0.65% 0.33% 0.37% 0.79% 0.79% 7 1.72% 1.75% 0.71% 0.76% 0.21% 0.25% 8 0.34% 0.40% 0.20% 0.23% 0.04% 0.04% 9 0.08% 0.09% 0.03% 0.03% 1.46% 1.56% 10 2.45% 2.60% 1.64% 1.76% 0.02% 0.02% 11 0.03% 0.03% 0.01% 0.01% 0.14% 0.17% 12 0.21% 0.26% 0.10% 0.13% 0.01% 0.02% 13 0.02% 0.04% 0.01% 0.01% 0.50% 0.46% 14 1.07% 0.99% 0.29% 0.27% 1.58% 1.69% 15 2.41% 2.64% 1.52% 1.57% 0.03% 0.03% 16 0.05% 0.07% 0.02% 0.02% 0.02% 0.02% 17 0.03% 0.03% 0.01% 0.01% 0.03% 0.03% 18 0.05% 0.05% 0.02% 0.03% 0.01% 0.01% 19 0.01% 0.01% 0.00% 0.01% 0.93% 1.05% 20 1.33% 1.46% 0.79% 0.96% 0.16% 0.16% 21 0.30% 0.30% 0.06% 0.06% 0.02% 0.03% 22 0.03% 0.03% 0.01% 0.01% 0.01% 0.01% 23 0.02% 0.02% 0.01% 0.01% 0.02% 0.02% 24 0.04% 0.03% 0.01% 0.00% 0.43% 0.52% 25 0.62% 0.67% 0.30% 0.38% 0.01% 0.02% 26 0.02% 0.02% 0.01% 0.01% 0.02% 0.02% 27 0.04% 0.04% 0.01% 0.01% 0.09% 0.11% 28 0.18% 0.21% 0.07% 0.09% 0.04% 0.03% 29 0.11% 0.12% 0.05% 0.05% 5.12% 5.20% 30 10.43% 10.20% 3.68% 3.81% 1.62% 1.51% Don’t know/ not sure 3.17% 2.91% 2.01% 1.88% 27.42% 27.76% Refuse d 0.76% 1.07% 0.62% 0.87% 0.39% 0.61% Missin g 0% 0% 0% 0% 51.82% 50.61%

Note: Total unweighted observations before excluded: 313,070; weighted observations before excluded: 86,235,454.

3.3.2. Key Explanatory Variables

Area deprivation index. This study applied Ford and Dzealtowski’s area deprivation index. 26 We chose this particular index because all elements required to calculate the

year from resources): percent of adults unemployed (2011), percent of adults over 25 years with less than a high school education (2008-2012), percent of households under the federally-designated poverty level (2008-2012), percent of households with more than one person per room (2008-2012), percent of female head of household with children (2010), percent of households with public assistance income (2008-2012), median household income (2011), and percent of households with no access to a vehicle (2010).

26 The data for percent of households with no access to a vehicle was obtained from the

2014 Food Environment Atlas Data File, and other data elements from the 2013-2014 AHRF.

We transposed the median household income. Then, each indicator was calculated as a standardized z-score (z =𝑥−𝜇

𝜎 ). Each indicator presents a standard normal

distribution with a mean of 0 and a standard deviation of 1. Then, all indicators are summed into an area deprivation index score, with higher score indicating the area is more deprived. The area deprivation score was divided into two groups based on mean score: low (affluent) versus high (deprived).

3.3.3. Covariates

Covariates contain individual- and county-level characteristics. Individual-level characteristics includes sociodemographic characteristics and health related factors. County-level characteristics were represented by health care resources.

a. Individual-level characteristics (i) Sociodemographic characteristics

Gender sets female as reference group. Age was divided into three categories: 65- 74 years old (reference category), 75-84 years old, or 85 years old and above.

Race/Ethnicity was collapsed into four categories: White (reference category), Black/African American, Hispanic/Latino, or others groups. Others includes Asian, Native Hawaiian/other Pacific Islander, American Indian/Alaska Native, and others.

Educational attainment was divided into two groups: less than high school (<grade 12, reference category) or college and above.

Marital status were also divided into two categories: married and living with spouse and living alone, regardless of marital status (reference category). The second category consisted primarily of divorced, widowed, separated, and never married (single).

Employment status was categorized as three categories: employed, unemployed, or retired (reference category). Employed includes employed for wages, self-employed, and homemakers. Unemployed contains out of work, students, and unable to work.

Annual household income was collapsed into two categories: less than $20,000 (reference category), $20,000 and above, or non-response/missing group.

(ii) Health related factors

Body mass index (BMI) was calculated by weight in kilograms divided by the square of the height in meters (kg/m2) or by weight in pounds divided by the square of the

height in inches and multiply a conversion factor of 703 (lb/in2). BMI was divided into

three categories: optimal weight (18.5-25, reference category), underweight (<18.5), or overweight/obese (>25.0).

Disability was accorded to the question “Are you limited in any way in any activities because of physical, mental, or emotional problems?”, and divided into yes or no (reference category).

day, some days or not at all”), dividing into non-smokers (reference category) or smokers. Current smoking was defined as smoking cigarette every day or some days.

Alcohol consumption was accorded the question “During the past 30 days, how many days per week or per month did you have at least one drink of any alcoholic beverage such as beer, wine, a malt beverage or liquor?” and categorize as non-drinkers (0 days, reference category) or drinkers (at least one day).

Number of chronic conditions were summed up whether they reported having a chronic disease diagnosis, including myocardial infarction, angina or coronary heart disease, stroke, asthma (current having asthma), any type of cancer, chronic obstructive pulmonary disease (COPD)/emphysema/chronic bronchitis, arthritis, depressive disorder, kidney diseases, and diabetes. Those 10 chronic conditions were categorized as 4 groups: 0 (no chronic condition, reference category), 1 (having only 1 chronic conditions), 2 (having any 2 chronic conditions), or 3 and more (having 3 and more chronic conditions). b. County-level characteristics: health care resources

Health care resources were categorized as health facilities and health personnel density. Health facilities factors contain general hospital, county health related centers (including community health center, community mental health center, federal qualified health center, and rural health clinic), and long-term care facility (including long term hospital, skilled nursing facility, and nursing facility). Health personnel density factors contain all primary care providers (including primary care physicians and other primary care providers), and dentists. The data of whole primary care providers gains from the 2014 CHRs, and others are from the 2013-2014 AHRF.

number of each variable divided by total population in the area and multiply 10,000, and presented health resources to population ratios or health personnel densities as the following equation. Then, all county-level factors were divided by mean scores into low (less than mean) or high (larger than mean) groups.

Health care resource to population ratio/health personnel densities

= 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑒𝑎𝑐ℎ ℎ𝑒𝑎𝑙𝑡ℎ 𝑐𝑎𝑟𝑒 𝑟𝑒𝑠𝑜𝑢𝑟𝑐𝑒

𝑇𝑜𝑡𝑎𝑙 𝑝𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛 ∗ 10,000

Table 3.5: The operational definition of variables

Study variables Operational Definition Attributes

Key explanatory variables

Area deprivation

index In multilevel analysis: 1=low (deprived) 2=high (affluent) Categorical; Numerical (in spatial analysis) Covariates Individual-level Sociodemographic characteristics Gender 1=Male

2=Female (reference category)

Categorical

Age 1=65-74 years (reference category)

2=75-84 years 3=85 years and over

Categorical

Race/Ethnicity 1=White (reference category)

2=Black/African American 3=Hispanic/Latino

4=Others, including Asian/Native Hawaiian or other Pacific Islander, American Indian/Alaska Native, and others

Categorical

Educational attainment

0=Less than high school (<grade 12) (reference category)

1=College and above

Categorical

Marital status 1=Married/A member of an unmarried (reference

category)

2=Divorced/Widowed/Separated/Never married

Categorical

Employment status 1=Employed

2=Unemployed

3=Retired (reference category)

Categorical

Study variables Operational Definition Attributes

income 2=$20,000 and above

3=Non-response, don’t know/not sure, or missing Health related

factors

Body Mass Index 1=Optimal weight (reference category)

2=Underweight 3=Overweight/obese

Categorical

Disability 0=No (reference category)

1=Yes Categorical

Smoking 0=Non-smoking (reference category)

1=Current smoking (every day or some days) Categorical

Alcohol consumption

0=No drinking (reference category) 1=Drinking

Categorical Number of chronic

conditions

Summed up whether they reported having a chronic disease diagnosis: myocardial infarction, angina or coronary heart disease, stroke, asthma (current having asthma), any type of cancer, chronic obstructive pulmonary disease

(COPD)/emphysema/chronic bronchitis, arthritis, depressive disorder, kidney diseases, and diabetes. Grouping up:

0=0 chronic condition (reference category) 1=1 chronic condition 2=2 chronic condition 3=≥3 chronic condition Categorical Community-level Health facilities

factors Including: 1. General hospital to population ratio 2. County health related centers

a. Community health center

b. Community mental health center c. Federal qualified health center d. Rural health clinic

3. Long-term care facility to population ratio a. Long term hospital

b. Skilled nursing facility c. Nursing facility

Dividing by mean scores: 1=low (< mean) 2=high (≥ mean) Categorical Health personnel density factors Including:

1. All primary care providers density a. Primary care physicians b. Other primary care providers 2. Dentists density

Study variables Operational Definition Attributes Dividing by mean scores:

1=low (< mean) 2=high (≥ mean) Dependent Variables

General health In multilevel analysis:

0=excellent/very good/good 1=fair/poor

In spatial analysis: calculating by MPS approach

Categorical; Numerical

Physical health In multilevel analysis:

0=low unhealthy days (first to third quartiles) 1=high unhealthy days (fourth quartiles)

In spatial analysis: calculating by MPS approach

Categorical; Numerical

Mental health In multilevel analysis:

0=low unhealthy days (first to third quartiles) 1=high unhealthy days (fourth quartiles)

In spatial analysis: calculating by MPS approach

Categorical; Numerical

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